Identification of fluid properties using a piezo helm resonator
Abstract
Embodiments of the present disclosure include a method for determining at least one fluid property that includes obtaining electrical admittance data from a downhole tool, the admittance data being associated with a fluid in a wellbore. The method also includes obtaining reference electrical admittance data for air. The method further includes comparing the admittance data to the reference admittance data. The method also includes determining an offset between a first peak of the admittance data and a second peak of the reference admittance data. The method includes determining the at least one fluid property based at least in part on the determined resonance frequency offset.
Claims
exact text as granted — not AI-modified1 . A system for measuring a fluidic property of a fluid, the system comprising:
a housing including an opening, the opening extending longitudinally along an axis of the housing; a flow passage extending through the passage, the flow passage intersecting the opening; a flow diverter arranged at an intersection between the opening and the flow passage, the flow diverter directing a fluid flowing through the flow passage into a fluid cavity formed at least partially in the opening; and a piezo helm resonator arranged within the fluid cavity, the piezo helm resonator electrically coupled to a power supply that transmits electrical energy to at least one resonator electrode arranged on the piezo helm resonator, wherein the piezo helm resonator resonates within the fluid cavity when electrically energized by the power supply.
2 . The system of claim 1 , further comprising:
a retainer coupled to the housing and extending at least partially into the opening; and a feedthrough arranged between the retainer and the piezo helm resonator, wherein the retainer secures the feedthrough within the housing.
3 . The system of claim 2 , wherein the fluid cavity it at least partially defined by an annular wall of the housing, the feedthrough, and the flow diverter.
4 . The system of claim 1 , wherein the piezo helm resonator further comprises:
a strain bar; and a pair of tines coupled to opposite ends of the strain bar, the tines having an arc such that strain across a transverse face of the strain bar generates a resonance response from the pair of tines.
5 . The system of claim 4 , wherein the piezo helm resonator further comprises:
at least one electromagnetic spectroscopy coil arranged along the strain bar, wherein the electromagnetic spectroscopy coil receives electrical energy from the power supply.
6 . The system of claim 1 , further comprising:
a gap thickness that surround the piezo helm resonator within the fluid cavity, the gap thickness providing a void space between at least a portion of an annular wall of the fluid cavity and piezo helm resonator.
7 . The system of claim 1 , further comprising:
a machine learning system communicatively coupled to the helm resonator sensor, the machine learning system receiving data from the helm resonator sensor to determine a fluid classification for a fluid positioned within the fluid cavity.
8 . The system of claim 1 , wherein the flow diverter further comprises:
a leading edge arranged to face an upstream portion of the flow passage; and a trailing edge arranged to face a downstream portion of the flow passage; wherein the leading edge drives the fluid flow into the fluid cavity to circulate around the piezo helm resonator, the leading edge being arranged at an angle relative to the flow passage to induce stagnant fluid in the fluid cavity to exit the fluid cavity along the training edge.
9 . A method for determining a fluid property, the method comprising:
positioning a helm resonator sensor within a wellbore; directing a flow of fluid into a fluid cavity of the helm resonator sensor; transmitting electrical energy to a piezo helm resonator within the fluid cavity; collecting data associated with at least one fluid property via the piezo helm resonator; and determining the at least one fluid property based at least in part on the collected data.
10 . The method of claim 9 , further comprising:
measuring an electrical admittance of the piezo helm resonator within the fluid; comparing a resonance frequency offset between the measured admittance and a reference admittance; and determining the at least one fluid property based at least in part on the resonance frequency offset.
11 . The method of claim 9 , wherein the flow of fluid is directed into the fluid cavity with a flow diverter, the flow diverter inducing circulation of fluid within the fluid cavity.
12 . The method of claim 9 , further comprising:
measuring an electrical admittance of the piezo helm resonator within the fluid; determining a real portion of the admittance; determining an imaginary portion of the admittance; determining a first frequency offset between the measured real portion and a reference real portion; determining a second frequency offset between the measured imaginary portion and a reference imaginary portion; and determining the at least one fluid property based at least in part on the first and second resonance frequency offsets.
13 . The method of claim 9 , further comprising:
providing ground truth data corresponding to the at least one fluid property, the ground truth data correlating the collected data and the at least one fluid property; training a neural network using the ground truth data; and inputting the collected data into the trained neural network.
14 . The method of claim 9 , wherein the at least one fluid property comprises a density, a viscosity, a conductivity, a fluid classification, or a combination thereof.
15 . The method of claim 9 , wherein the helm resonator sensor is an array of helm resonator sensors.
16 . A method for determining at least one fluid property, the method comprising:
obtaining electrical admittance data from a downhole tool, the electrical admittance data being associated with a fluid in a wellbore; obtaining reference electrical admittance data for a reference fluid; comparing the electrical admittance data to the reference electrical admittance data; determining a set of admittance resonance frequency offsets from the reference electrical admittance data; and determining the at least one fluid property based at least in part on the determined set of admittance resonance frequency offsets.
17 . The method of claim 16 , further comprising:
providing ground truth data corresponding to the at least one fluid property, the ground truth data correlating the electrical admittance data and the at least one fluid property; training a neural network using the ground truth data; and inputting the collected data into the trained neural network.
18 . The method of claim 16 , further comprising:
determining a real portion of the electrical admittance data; determining an imaginary portion of the electrical admittance data; determining a real portion of the reference electrical admittance data; determining an imaginary portion of the reference electrical admittance data; determining a resonance frequency real offset between the real portion of the electrical admittance data and the real portion of the reference electrical admittance data; determining a resonance frequency imaginary offset between the imaginary portion of the electrical admittance data and the imaginary portion of the reference electrical admittance data; and determining the at least one fluid property based at least in part on the real and imaginary offsets.
19 . The method of claim 16 , further comprising:
energizing a piezo helm resonator positioned in contact with the fluid.
20 . The method of claim 16 , further comprising:
measuring conductivity using electromagnetic spectroscopy coils via the downhole tool.Join the waitlist — get patent alerts
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